Pdf Mcp
What is Pdf Mcp
pdf-mcp is a powerful PDF processing service based on the Model Context Protocol (MCP), offering comprehensive document analysis capabilities.
Use cases
Use cases for pdf-mcp include extracting text and images from PDFs for data analysis, recognizing and structuring tabular data, classifying documents based on content, and comparing documents in different languages.
How to use
To use pdf-mcp, clone the repository, create a virtual environment, install dependencies, and start the service using the provided commands.
Key features
Key features include text extraction with multilingual support, image processing, table recognition, intelligent classification using deep learning, similarity analysis for cross-language comparison, and support for over 100 languages.
Where to use
pdf-mcp can be utilized in various fields such as document management, data extraction, research analysis, and any application requiring advanced PDF processing.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Pdf Mcp
pdf-mcp is a powerful PDF processing service based on the Model Context Protocol (MCP), offering comprehensive document analysis capabilities.
Use cases
Use cases for pdf-mcp include extracting text and images from PDFs for data analysis, recognizing and structuring tabular data, classifying documents based on content, and comparing documents in different languages.
How to use
To use pdf-mcp, clone the repository, create a virtual environment, install dependencies, and start the service using the provided commands.
Key features
Key features include text extraction with multilingual support, image processing, table recognition, intelligent classification using deep learning, similarity analysis for cross-language comparison, and support for over 100 languages.
Where to use
pdf-mcp can be utilized in various fields such as document management, data extraction, research analysis, and any application requiring advanced PDF processing.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
PDF-MCP 
📄 PDF-MCP 服务
高性能 PDF 文档处理服务，支持文本、图片、表格提取及高级分析。
✨ 主要特性
- 📜 文本提取：多语言支持，保留格式。
- 🖼️ 图片处理：提取与优化。
- 📊 表格识别：结构化数据输出。
- 🧠 智能分类：基于深度学习。
- 🔍 相似度分析：跨语言比较。
- 🌐 多语言支持：100+ 种语言。
💻 系统要求
- 🖥️ 硬件：2 核 CPU，4GB 内存。
- ⚙️ 软件：Python 3.10+，可选 CUDA 支持。
🚀 快速开始
- 🗂️ 克隆仓库并进入目录：
git clone https://github.com/saury1120/pdf-mcp.git cd pdf-mcp - 🛠️ 创建虚拟环境并安装依赖：
uv venv source .venv/bin/activate uv pip install -r requirements.txt - ▶️ 启动服务：
uv run pdf_reader
Claude Desktop 配置
- 找到配置文件：
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%AppData%/Claude/claude_desktop_config.json
- macOS:
- 添加以下配置：
PDF-MCP Service
A high-performance PDF document processing service supporting text, image, table extraction, and advanced analysis.
✨ Key Features
- 📜 Text Extraction: Multilingual support, retains formatting.
- 🖼️ Image Processing: Extraction and optimization.
- 📊 Table Recognition: Structured data output.
- 🧠 Intelligent Classification: Based on deep learning.
- 🔍 Similarity Analysis: Cross-language comparison.
- 🌐 Multilingual Support: 100+ languages.
💻 System Requirements
- 🖥️ Hardware: 2-core CPU, 4GB RAM.
- ⚙️ Software: Python 3.10+, optional CUDA support.
🚀 Quick Start
- 🗂️ Clone the repository and enter the directory:
git clone https://github.com/saury1120/pdf-mcp.git cd pdf-mcp - 🛠️ Create a virtual environment and install dependencies:
uv venv source .venv/bin/activate uv pip install -r requirements.txt - ▶️ Start the service:
uv run pdf_reader
Claude Desktop
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
